Title :
Joint adaptive space and frequency basis selection
Author :
Smith, John R. ; Chang, Shih-Fu
Author_Institution :
IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
Abstract :
We develop a new method for building a representation of an image from a library of basis elements that is facilitated by a joint adaptive space and frequency (JASF) graph. The JASF graph combines partitionable frequency expansion and spatial segmentation of the image, symmetrically. We demonstrate by using a rate-distortion framework for basis selection that the JASF graph improves compression performance over recent wavelet packet and double-tree methods by offering exponentially more bases in which to represent the images
Keywords :
adaptive signal processing; data compression; graph theory; image coding; image representation; image segmentation; rate distortion theory; adaptive frequency basis selection; adaptive space basis selection; compression performance; double-tree method; image representation; joint adaptive space and frequency graph; library; partitionable frequency expansion; rate-distortion; single-trees; spatial image segmentation; wavelet packet method; Filter bank; Frequency; Image coding; Image decomposition; Image segmentation; Libraries; Milling machines; Rate-distortion; Rivers; Tree graphs;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.632218
